The frustum classification accuracy is 98% and 94% on the Oxford and KITTI dataset, respectively. However, these numbers does not translate directly to the registration accuracy. Following the practice of [1]}, [2]}, the registration is evaluated with two criteria: average Relative Translational Error (RTE) and average Relative Rotation Error (RRE). The results are shown in Table REF  and Fig. REF .
